Budget constrained execution of multiple Bag-of-Tasks applications on the Cloud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)
3 Downloads (Pure)

Abstract

Optimising the execution of Bag-of-Tasks (BoT) applications on the cloud is a hard problem due to the trade- offs between performance and monetary cost. The problem can be further complicated when multiple BoT applications need to be executed. In this paper, we propose and implement a heuristic algorithm that schedules tasks of multiple applications onto different cloud virtual machines in order to maximise performance while satisfying a given budget constraint. Current approaches are limited in task scheduling since they place a limit on the number of cloud resources that can be employed by the applications. However, in the proposed algorithm there are no such limits, and in comparison with other approaches, the algorithm on average achieves an improved performance of 10%. The experimental results also highlight that the algorithm yields consistent performance even with low budget constraints which cannot be achieved by competing approaches.
Original languageEnglish
Title of host publication2015 IEEE 8th International Conference on Cloud Computing (CLOUD)
Place of PublicationNew York
PublisherIEEE Computer Society
Pages975-980
Number of pages6
ISBN (Print)9781467372862
DOIs
Publication statusPublished - 27 Jun 2015
Event8th IEEE International Conference on Cloud Computing (CLOUD 2015) - Millenium Broadway Hotel, New York, United States
Duration: 27 Jun 20152 Jul 2015
http://www.thecloudcomputing.org/2015/

Conference

Conference8th IEEE International Conference on Cloud Computing (CLOUD 2015)
Country/TerritoryUnited States
CityNew York
Period27/06/152/07/15
Internet address

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